Abstract: To ensure the stable and secure operation of the power system, we propose a method for short-term load probability prediction based on Conditional Generative Adversarial Network (CGAN) curve ...
An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...
Implementation of Bayesian Network Based on Ultra-High-Speed Superconductor Random Number Generators
Abstract: A Bayesian network (BN) is a graphical model that represents causal relationships between events. BNs have been widely used in applications such as forecasting, diagnosis, and classification ...
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